2020 IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology (AGERS)最新文献_第3页

Analysis of Vulnerability Level to the Forest and Land Fire Hazard in Ogan Komering Ilir Regency 奥根科莫林县森林和土地火灾脆弱性等级分析

2020 IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology (AGERS) Pub Date : 2020-12-07 DOI: 10.1109/AGERS51788.2020.9452776

Mega Novetrishka Putri, H. Priyadi, Muhammad Dayuf Jusuf, Syaefudin, R. Amaliyah, A. Subandar, Suryanto

{"title":"Analysis of Vulnerability Level to the Forest and Land Fire Hazard in Ogan Komering Ilir Regency","authors":"Mega Novetrishka Putri, H. Priyadi, Muhammad Dayuf Jusuf, Syaefudin, R. Amaliyah, A. Subandar, Suryanto","doi":"10.1109/AGERS51788.2020.9452776","DOIUrl":"https://doi.org/10.1109/AGERS51788.2020.9452776","url":null,"abstract":"Ogan Komering Ilir Regency is one of the areas that experienced sever forest fires in 2015. The fire occurred because of the El Nino phenomenon which made the weather conditions dry out and prolonged the dry season. Also, it was caused by forest illegal burning and peatlands to open new land for plantations. According to the regional board of disaster management, known as BPBD data of OKI regency, around 316, 697 Ha of forest land were affected by forest fires. This causes material and immaterial losses to the local community. One of the important aspects of disaster mitigation is an assessment of the vulnerability of potential disaster-prone areas. The purposes of this paper is to determine the level of forest fire disaster vulnerability in the OKI regency to assist in disaster mitigation and recommendations for regional spatial development. The vulnerability assessment used in this study is based on the regulation of the head of the Indonesian national board of disaster management No.2 of 2012 concerning General Guidelines for Indonesian Disaster Risk Assessment. The assessment uses 2 parameters: economic and environmental vulnerability. The method used us weight calculation based on each parameter and data is processed using GIS. Based on the analysis result, a quite high fire potential is in: peatlands areas, forest fire-prones areas, and/or peat swamp forest fires, which covers the area of Kayuagung, Sungai Menang, Cengal, Tulung Selapan, Air Sugihan, Pedamaran Timur, Pedamaran, Pampangan, Pangkalan, Lampam, Lempuing, Lempuing Jaya, Mesuji, Mesuji, Makmur and Mesuji Raya District","PeriodicalId":125663,"journal":{"name":"2020 IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology (AGERS)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125772190","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Analysis of Tsunami Inundation Potential in the Coastal Area of Palabuhanratu District 帕拉布汉拉图地区沿海地区海啸淹没潜力分析

2020 IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology (AGERS) Pub Date : 2020-12-07 DOI: 10.1109/AGERS51788.2020.9452772

A. Nuraghnia, W. Windupranata, N. Hanifa, C. Nusantara

{"title":"Analysis of Tsunami Inundation Potential in the Coastal Area of Palabuhanratu District","authors":"A. Nuraghnia, W. Windupranata, N. Hanifa, C. Nusantara","doi":"10.1109/AGERS51788.2020.9452772","DOIUrl":"https://doi.org/10.1109/AGERS51788.2020.9452772","url":null,"abstract":"How the tsunami hazard affecting life in Palabuhanratu District is investigated in this paper. By considering this district as a tourist area that is visited by many tourists, the coastal activity is quite high compared to other areas. In the southern region of Java Island, or more precisely Pelabuhanratu, there is an active tectonic zone that can cause underwater earthquakes with a potential strength of up to 8.7 Mw. An underwater earthquake of this magnitude can cause a large tsunami potential, which will greatly affect or even paralyze community activities in coastal areas. This study is conducted to analyze the impact of a potential tsunami that could occur on community activities in the area. To achieve this, it is necessary to do tsunami modeling with numerical methods using the COMCOT v1.7 software on two scenarios. Then the results of the visualization of the inundation will be overlaid with land cover data and buildings data in Palabuhanratu District. The results of this study indicate that the tsunami immersion height in the first scenario modeling is much higher than the second scenario, which is more than 30 m. Meanwhile, for the second scenario, it reaches more than 4 m. The potential for this tsunami caused several losses to the residents, namely the residential area of 917.51 ha is submerged and 17,709 buildings affected in the first scenario, as well as the residential area of 260.54 ha is submerged and 2,779 buildings affected in the second scenario.","PeriodicalId":125663,"journal":{"name":"2020 IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology (AGERS)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127481997","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Reconstruction of Sunda Strait Tsunami 2018 2018年巽他海峡海啸重建

2020 IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology (AGERS) Pub Date : 2020-12-07 DOI: 10.1109/AGERS51788.2020.9452750

S. Mahelda, W. Windupranata, C. Nusantara

{"title":"Reconstruction of Sunda Strait Tsunami 2018","authors":"S. Mahelda, W. Windupranata, C. Nusantara","doi":"10.1109/AGERS51788.2020.9452750","DOIUrl":"https://doi.org/10.1109/AGERS51788.2020.9452750","url":null,"abstract":"The Sunda Strait Tsunami that occurred on 22 December 2018 was an extraordinary event. This event began with an increase in the volcanic activity of Mount Anak Krakatau on 29 June 2018 that occurred in the form of a series of eruptions and earthquakes that continually caused landslides of Mount Anak Krakatau. The landslide of Mount Anak Krakatau's body that entered the sea generated tsunami waves and hit several areas in the Sunda Strait. Tsunami reconstruction is done by numerical modeling of tsunami wave formation, propagation of tsunami waves, and tsunami inundation using COMCOT software. Data used in tsunami reconstruction are topographical and bathymetry data in the Sunda Strait region and landslide parameters in the form of snapshots (time phases) of landslide movements as tsunami wave generators. Tsunami reconstruction generates information about the propagation of tsunami waves from sources to coastal areas and the height of the tsunami inundation in the area affected by the tsunami. This study also validated the results of the tsunami reconstruction compared with actual events using BIG tide station data in the Sunda Strait area, the results of the study by Syamsidik et al. (2019) [1], and the arrival time of the tsunami originating from BMKG. Validation shows that the waves resulting from reconstruction are larger and the periods are faster than the actual events, but the height of tsunami inundation results from reconstruction is lower and the tsunami arrival time is slower than the actual event.","PeriodicalId":125663,"journal":{"name":"2020 IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology (AGERS)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125455255","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Sea High-Level Determination using Pseudorange Range Difference of Carrier Phase and Code between GPS Reflection and Directly Signal 利用载波相位的伪距差和GPS反射信号与直接信号之间的编码确定海上高电平

2020 IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology (AGERS) Pub Date : 2020-12-07 DOI: 10.1109/AGERS51788.2020.9452774

B. Muslim, Charisma Juni Kumalasari, N. Widjajanti

{"title":"Sea High-Level Determination using Pseudorange Range Difference of Carrier Phase and Code between GPS Reflection and Directly Signal","authors":"B. Muslim, Charisma Juni Kumalasari, N. Widjajanti","doi":"10.1109/AGERS51788.2020.9452774","DOIUrl":"https://doi.org/10.1109/AGERS51788.2020.9452774","url":null,"abstract":"The GNSS signal reflection technique at the tide station can provide accurate results and is more far-reaching from the coast to the sea, it is possible to provide real-time sealevel information including high wave and tsunami. With the use of two receivers with two antennas, one facing upwards as a direct signal receiver and a second antenna facing downwards as a signal receiver of reflection can be obtained both phase data and GNSS signal codes from both direct and reflected signals. With the different methods of signal trajectory that propagates directly and propagates through reflection by sea level, it can be determined the difference in distance between the master and the shadow rover receivers. The sea level can be determined which is half the distance between the two receivers. In this paper, the results of the data analysis of the different trajectory distances of GNSS signals from code data are presented, from the simplest one, namely a GNSS satellite is assumed to have a linear relationship with the satellite elevation angle with a gradient proportional to sea level. The computation results show that the reflected signal data is suspected not only from sea level but originating from the surrounding environment. It is necessary to experiment with the reflected signal in an area that ensures that the signal is only reflected once by sea level or other reflected plane.","PeriodicalId":125663,"journal":{"name":"2020 IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology (AGERS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125152733","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Impact of the COVID-19 Large-scale Social Restrictions on NO2 and CO Concentrations in the Most Populated Cities in Java Island, Indonesia 新冠肺炎疫情对印尼爪哇岛人口最多城市NO2和CO浓度的影响

2020 IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology (AGERS) Pub Date : 2020-12-07 DOI: 10.1109/AGERS51788.2020.9452784

A. Darmawan, N. Setyaningrum, Riisyani, Ilvi Fauziyah Cahyaningtyas, Aji Putra Perdana

引用次数: 1

Deep Learning Algorithms to determine Drought prone Areas Using Remote Sensing and GIS 利用遥感和GIS确定干旱易发地区的深度学习算法

2020 IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology (AGERS) Pub Date : 2020-12-07 DOI: 10.1109/AGERS51788.2020.9452752

Muhammad Iqbal Habibie, T. Ahamed, R. Noguchi, S. Matsushita

引用次数: 14

Flood Early Warning System (FEWS) based on weather radar observation at Ciliwung river basin: Preliminary study 基于气象雷达观测的慈溪翁河流域洪水预警系统(FEWS)初步研究

2020 IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology (AGERS) Pub Date : 2020-12-07 DOI: 10.1109/AGERS51788.2020.9452753

R. Sulistyowati, F. Meliani, Winarno, H. A. Belgaman, F. Syamsudin

引用次数: 2

Annual Changes in Rainfall Extremes over the Megacity Jakarta 雅加达特大城市极端降雨的年变化

2020 IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology (AGERS) Pub Date : 2020-12-07 DOI: 10.1109/AGERS51788.2020.9452762

S. Lestari, A. King, C. Vincent

{"title":"Annual Changes in Rainfall Extremes over the Megacity Jakarta","authors":"S. Lestari, A. King, C. Vincent","doi":"10.1109/AGERS51788.2020.9452762","DOIUrl":"https://doi.org/10.1109/AGERS51788.2020.9452762","url":null,"abstract":"Heavy rainfall has been known as one of the factors inducing hydrometeorological hazards over the Megacity Jakarta. However, research on changes in rainfall extremes (REs) is somehow very limited in the region. This study will investigate annual and seasonal of REs and how it varies with different topography. We used daily rainfall record at nine observational sites (1975–2016) and reanalysis data of ERA INTERIM (1979–2016). The result shows that the severest rainfall (maximum of consecutive 5-day rainfall/RX5day and 99th percentile/R99p) has strong positive trends particularly at Kemayoran (coastal site) although the increased trends are also found at any other stations over the inland and mountainous areas. The analysis of seasonal trends demonstrates that significant increasing trends only occur in the wet (Dec-Feb) and transitional season (Mar-May, Sep-Nov) over Kemayoran (the coastal station) while a positive trend is observed in all seasons over Citeko (the mountain site). Compared to the wet season, in the dry (Jun-Aug) and transitional (Sep-Nov) seasons, there is concentrated areas near Jakarta and its surroundings with a large standard deviation in Mean Sea Level Pressure (MSLP), Outgoing Longwave Radiation (OLR) as well as cloud cover indicating that this region has a larger variability than the average. A distinct season of increased rainfall trends between the coast and mountain along with high anomalies in the regional OLR, MSLP, and cloud cover in the dry season implies that the development of REs might as a result of an interaction between local topography and large-scale climate condition.","PeriodicalId":125663,"journal":{"name":"2020 IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology (AGERS)","volume":"19 8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123553244","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Flood Monitoring with Information Extraction Approach from Social Media Data 基于社交媒体数据的洪水监测信息提取方法

2020 IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology (AGERS) Pub Date : 2020-12-07 DOI: 10.1109/AGERS51788.2020.9452770

P. K. Putra, D. B. Sencaki, G. P. Dinanta, F. Alhasanah, R. Ramadhan

{"title":"Flood Monitoring with Information Extraction Approach from Social Media Data","authors":"P. K. Putra, D. B. Sencaki, G. P. Dinanta, F. Alhasanah, R. Ramadhan","doi":"10.1109/AGERS51788.2020.9452770","DOIUrl":"https://doi.org/10.1109/AGERS51788.2020.9452770","url":null,"abstract":"Flood natural disasters that often occur in Jakarta have a bad impact on many sectors. Countermeasures, fast action, and monitoring need to be done to minimize the impact that occurs. Social Media is a technology platform that can provide flood-related data that can be used as primary data or complementary data for monitoring systems. This study focuses on using social media data to be used as flood monitoring data. The analysis used is an analysis with a natural language processing approach. The classification algorithm method used in this study is naive Bayes, random forest, support vector machine, logistic regression, and conditional random field. Location information extraction methods used are Standford NER and Geocoding. This research produces three models. The first model is the classification model used to classify relevant data with an f1- score evaluation value of 82.5%. The second model is the NER model which is used to extract location entities from sentences with an f1-score evaluation value of 73%. The last one is the locator of geocoding with a success rate of 75% for identifying roads. This research also produces a simple dashboard that can be used as a visualization tool.","PeriodicalId":125663,"journal":{"name":"2020 IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology (AGERS)","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115886100","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Coastal Vulnerability Based on Oceanographic and Ecosystem Parameters on the North and South Coast of West Java 基于海洋和生态系统参数的西爪哇南北海岸脆弱性研究

2020 IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology (AGERS) Pub Date : 2020-12-07 DOI: 10.1109/AGERS51788.2020.9452761

Sarah K. Anwar, N. P. Purba, Yuniarti, Subiyanto

引用次数: 1